Priyanshu Jain

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a Software Engineering & AI/ML Student building production-grade Next.js apps, AI platforms, & scalable microservices.

Competitive Programmer • Developer • Builder

Priyanshu Jain

About me

I am a software engineering student dedicated to the craft of building production-ready systems. My focus lies in creating scalable architecture and clean, maintainable code. I thrive on solving complex technical challenges and turning ideas into robust digital realities.

Academic foundation.

Maharaja Agrasen Institute of Technology (GGSIPU)

Delhi, India • B.Tech - Computer Science and Technology (CGPA: 8.61 / 10)

Recognitions:🏆 Smart India Hackathon 2025 (SIH) Participant⭐ NASSCOM TechForChange Contributor
Expected June 2027

Tools and technologies I use.

Languages

CC++JavaScriptPython

Frontend

React.jsNext.jsTypeScriptTailwind CSSshadcn/uiChart.js

Backend & Databases

Node.jsFastAPIRESTful APIsJWT AuthenticationMongoDBSupabase (PostgreSQL)

AI & ML

PandasNumPyScikit-learnSupervised LearningClustering

CS Fundamentals

Data Structures & AlgorithmsOOPOSDBMS

Platforms & Tools

GitGitHubVercel

Practical work and leadership.

Software Engineer Intern

ClipHawk

January 2026 – March 2026
  • Engineered entity summary cards with priority attribute visibility, reducing review time by 60–70%
  • Built RESTful data pipelines to surface reel scores and creator contact data for analytics
  • Implemented persistent task queue with nightly cron rescheduling that retained 95% of failed executions

AI Intern

IBM SkillsBuild Project Based Learning Program

July 2025 – August 2025
  • Designed and developed an LLM-powered chatbot using IBM Watson in a team environment
  • Built real-time query handling system, reducing development & response time by 40%
  • Certified upon successful completion of the program with CSRBOX Foundation

Builds & experiments.

PlacementMentor AI Resume Analysis and Mock Interview Platform

PlacementMentor

Automated resume analysis and AI-driven mock interviews.

  • Built full-stack AI platform analyzing resumes against job descriptions using a 375 canonical skill dictionary (~2,200+ variants) for real-time ATS scores
  • Engineered Python/FastAPI microservice for PDF parsing and NLP-based skill extraction with a hybrid scoring model
  • Integrated Vapi AI for real-time voice-based mock interviews with dynamic question generation via OpenRouter API
  • Designed end-to-end user flow with Supabase PostgreSQL, Google OAuth, and React Context for session state
Next.jsReactPythonFastAPISupabaseVapi AIOpenRouter APINext.jsReactPythonFastAPISupabaseVapi AIOpenRouter API
GitHub↗
Screenshot of Exoplanet Hunting using Machine Learning

Exoplanet Hunting using Machine Learning

Transit photometry exoplanet classification from stellar light curves.

  • Applied transit photometry techniques to detect exoplanets from large-scale astronomical datasets
  • Implemented K-Nearest Neighbors (KNN) classification for pattern detection and habitability prediction
  • Focused on data preprocessing, feature extraction, class imbalance handling, and end-to-end ML workflow design
PythonScikit-learnPandasNumPyKNNMachine LearningPythonScikit-learnPandasNumPyKNNMachine Learning
GitHub↗Live demo ↗
View All Projects→

Get in Touch

Want to chat? Feel free to reach out to me via email or on social media.

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